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ORCIDLeonard Tang
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2020 – today
- 2024
[i13]Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt D. Bollacker, Rishi Bomassani, Marisa Ferrara Boston, Siméon Campos, Kal Chakra, Canyu Chen, Cody Coleman, Zacharie Delpierre Coudert, Leon Derczynski, Debojyoti Dutta, Ian Eisenberg, James Ezick, Heather Frase, Brian Fuller, Ram Gandikota, Agasthya Gangavarapu, Ananya Gangavarapu, James Gealy, Rajat Ghosh, James Goel, Usman Gohar, Subhra S. Goswami, Scott A. Hale, Wiebke Hutiri, Joseph Marvin Imperial, Surgan Jandial, Nick Judd
, Felix Juefei-Xu, Foutse Khomh, Bhavya Kailkhura, Hannah Rose Kirk, Kevin Klyman, Chris Knotz, Michael Kuchnik, Shachi H. Kumar, Chris Lengerich, Bo Li, Zeyi Liao, Eileen Peters Long, Victor Lu, Yifan Mai, Priyanka Mary Mammen, Kelvin Manyeki, Sean McGregor, Virendra Mehta, Shafee Mohammed, Emanuel Moss, Lama Nachman, Dinesh Jinenhally Naganna, Amin Nikanjam, Besmira Nushi, Luis Oala, Iftach Orr, Alicia Parrish, Cigdem Patlak, William Pietri, Forough Poursabzi-Sangdeh, Eleonora Presani, Fabrizio Puletti, Paul Röttger, Saurav Sahay, Tim Santos, Nino Scherrer, Alice Schoenauer Sebag, Patrick Schramowski, Abolfazl Shahbazi, Vin Sharma, Xudong Shen, Vamsi Sistla, Leonard Tang, Davide Testuggine, Vithursan Thangarasa, Elizabeth Anne Watkins, Rebecca Weiss, Chris Welty, Tyler Wilbers, Adina Williams, Carole-Jean Wu, Poonam Yadav, Xianjun Yang, Yi Zeng, Wenhui Zhang, Fedor Zhdanov, Jiacheng Zhu, Percy Liang, Peter Mattson, Joaquin Vanschoren:
Introducing v0.5 of the AI Safety Benchmark from MLCommons. CoRR abs/2404.12241 (2024)- [i12]Brian R. Y. Huang, Maximilian Li, Leonard Tang:
Endless Jailbreaks with Bijection Learning. CoRR abs/2410.01294 (2024) - 2023
- [c7]Leonard Tang, Alexander Cai, Jason Wang:
The Naughtyformer: A Transformer Understands and Moderates Adult Humor (Student Abstract). AAAI 2023: 16348-16349 - [c6]Steven H. Wang, Antoine Scardigli, Leonard Tang, Wei Chen, Dimitry Levkin, Anya Chen, Spencer Ball, Thomas Woodside, Oliver Zhang, Dan Hendrycks:
MAUD: An Expert-Annotated Legal NLP Dataset for Merger Agreement Understanding. EMNLP 2023: 16369-16382 - [c5]Iddo Drori, Sarah J. Zhang, Reece Shuttleworth, Sarah Zhang, Keith Tyser, Zad Chin, Pedro Lantigua, Saisamrit Surbehera, Gregory Hunter, Derek Austin, Leonard Tang, Yann Hicke, Sage Simhon, Sathwik Karnik, Darnell Granberry, Madeleine Udell:
From Human Days to Machine Seconds: Automatically Answering and Generating Machine Learning Final Exams. KDD 2023: 3947-3955 - [c4]Leonard Tang, Dan Ley:
Degraded Polygons Raise Fundamental Questions of Neural Network Perception. NeurIPS 2023 - [i11]Steven H. Wang, Antoine Scardigli, Leonard Tang, Wei Chen, Dimitry Levkin, Anya Chen, Spencer Ball, Thomas Woodside, Oliver Zhang, Dan Hendrycks:
MAUD: An Expert-Annotated Legal NLP Dataset for Merger Agreement Understanding. CoRR abs/2301.00876 (2023) - [i10]Leonard Tang, Tom Shlomi, Alexander Cai:
Learning the Wrong Lessons: Inserting Trojans During Knowledge Distillation. CoRR abs/2303.05593 (2023) - [i9]Leonard Tang, Gavin Uberti, Tom Shlomi:
Baselines for Identifying Watermarked Large Language Models. CoRR abs/2305.18456 (2023) - [i8]Leonard Tang, Dan Ley:
Degraded Polygons Raise Fundamental Questions of Neural Network Perception. CoRR abs/2306.04955 (2023) - [i7]Dan Ley, Leonard Tang, Matthew Nazari, Hongjin Lin, Suraj Srinivas, Himabindu Lakkaraju:
Consistent Explanations in the Face of Model Indeterminacy via Ensembling. CoRR abs/2306.06193 (2023) - 2022
- [c3]Leonard Tang, Elizabeth Ke, Nikhil Singh, Bo Feng, Derek Austin, Nakul Verma, Iddo Drori:
Solving Probability and Statistics Problems by Probabilistic Program Synthesis at Human Level and Predicting Solvability. AIED (2) 2022: 612-615 - [c2]Dan Hendrycks, Andy Zou, Mantas Mazeika, Leonard Tang, Bo Li, Dawn Song, Jacob Steinhardt:
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures. CVPR 2022: 16762-16771 - [c1]Swaroop Mishra, Matthew Finlayson, Pan Lu, Leonard Tang, Sean Welleck, Chitta Baral, Tanmay Rajpurohit, Oyvind Tafjord, Ashish Sabharwal, Peter Clark, Ashwin Kalyan:
LILA: A Unified Benchmark for Mathematical Reasoning. EMNLP 2022: 5807-5832 - [i6]Sarah J. Zhang, Reece Shuttleworth, Derek Austin, Yann Hicke, Leonard Tang, Sathwik Karnik, Darnell Granberry, Iddo Drori:
A Dataset and Benchmark for Automatically Answering and Generating Machine Learning Final Exams. CoRR abs/2206.05442 (2022) - [i5]Swaroop Mishra, Matthew Finlayson, Pan Lu, Leonard Tang, Sean Welleck, Chitta Baral, Tanmay Rajpurohit, Oyvind Tafjord, Ashish Sabharwal, Peter Clark, Ashwin Kalyan:
Lila: A Unified Benchmark for Mathematical Reasoning. CoRR abs/2210.17517 (2022) - [i4]Leonard Tang, Alexander Cai, Steve Li, Jason Wang:
The Naughtyformer: A Transformer Understands Offensive Humor. CoRR abs/2211.14369 (2022) - 2021
- [i3]Leonard Tang, Elizabeth Ke, Nikhil Singh, Nakul Verma, Iddo Drori:
Solving Probability and Statistics Problems by Program Synthesis. CoRR abs/2111.08267 (2021) - [i2]Dan Hendrycks, Andy Zou, Mantas Mazeika, Leonard Tang, Bo Li, Dawn Song, Jacob Steinhardt:
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures. CoRR abs/2112.05135 (2021) - [i1]Iddo Drori, Sunny Tran, Roman Wang, Newman Cheng, Kevin Liu, Leonard Tang, Elizabeth Ke, Nikhil Singh, Taylor L. Patti, Jayson Lynch, Avi Shporer, Nakul Verma, Eugene Wu, Gilbert Strang:
A Neural Network Solves and Generates Mathematics Problems by Program Synthesis: Calculus, Differential Equations, Linear Algebra, and More. CoRR abs/2112.15594 (2021)
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